Dataset statistics
| Number of variables | 24 |
|---|---|
| Number of observations | 746 |
| Missing cells | 3734 |
| Missing cells (%) | 20.9% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 140.0 KiB |
| Average record size in memory | 192.2 B |
Variable types
| Numeric | 6 |
|---|---|
| Categorical | 18 |
dl_applied has constant value "D/L" | Constant |
overs has constant value "20" | Constant |
date has a high cardinality: 538 distinct values | High cardinality |
player_of_match has a high cardinality: 223 distinct values | High cardinality |
id is highly correlated with season | High correlation |
season is highly correlated with id | High correlation |
first_bat_score is highly correlated with second_bat_score | High correlation |
second_bat_score is highly correlated with first_bat_score | High correlation |
id is highly correlated with season | High correlation |
season is highly correlated with id | High correlation |
first_bat_score is highly correlated with second_bat_score | High correlation |
second_bat_score is highly correlated with first_bat_score | High correlation |
id is highly correlated with season | High correlation |
season is highly correlated with id | High correlation |
first_bat_score is highly correlated with second_bat_score | High correlation |
second_bat_score is highly correlated with first_bat_score | High correlation |
id is highly correlated with city and 11 other fields | High correlation |
city is highly correlated with id and 10 other fields | High correlation |
toss_decision is highly correlated with eliminator | High correlation |
team2 is highly correlated with id and 6 other fields | High correlation |
result is highly correlated with umpire1 and 6 other fields | High correlation |
umpire1 is highly correlated with id and 7 other fields | High correlation |
eliminator is highly correlated with id and 13 other fields | High correlation |
team1 is highly correlated with id and 11 other fields | High correlation |
first_bat_score is highly correlated with result and 2 other fields | High correlation |
winner is highly correlated with id and 8 other fields | High correlation |
first_bowl_team is highly correlated with id and 10 other fields | High correlation |
toss_winner is highly correlated with id and 9 other fields | High correlation |
season is highly correlated with id and 11 other fields | High correlation |
venue is highly correlated with id and 10 other fields | High correlation |
second_bat_score is highly correlated with result and 2 other fields | High correlation |
first_bat_team is highly correlated with id and 9 other fields | High correlation |
umpire2 is highly correlated with id and 8 other fields | High correlation |
city has 13 (1.7%) missing values | Missing |
winner has 12 (1.6%) missing values | Missing |
eliminator has 738 (98.9%) missing values | Missing |
dl_applied has 727 (97.5%) missing values | Missing |
win_by_runs has 410 (55.0%) missing values | Missing |
win_by_wickets has 348 (46.6%) missing values | Missing |
result has 734 (98.4%) missing values | Missing |
umpire3 has 744 (99.7%) missing values | Missing |
date is uniformly distributed | Uniform |
umpire3 is uniformly distributed | Uniform |
id has unique values | Unique |
Reproduction
| Analysis started | 2021-09-03 02:21:07.836504 |
|---|---|
| Analysis finished | 2021-09-03 02:21:16.422106 |
| Duration | 8.59 seconds |
| Software version | pandas-profiling v3.0.0 |
| Download configuration | config.json |
| Distinct | 746 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 713552 |
| Minimum | 335982 |
|---|---|
| Maximum | 1178425 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.0 KiB |
Quantile statistics
| Minimum | 335982 |
|---|---|
| 5-th percentile | 336019.25 |
| Q1 | 501209.25 |
| median | 598048.5 |
| Q3 | 980984.5 |
| 95-th percentile | 1175367.75 |
| Maximum | 1178425 |
| Range | 842443 |
| Interquartile range (IQR) | 479775.25 |
Descriptive statistics
| Standard deviation | 284541.8848 |
|---|---|
| Coefficient of variation (CV) | 0.3987682534 |
| Kurtosis | -1.339679771 |
| Mean | 713552 |
| Median Absolute Deviation (MAD) | 205839 |
| Skewness | 0.3531419385 |
| Sum | 532309792 |
| Variance | 8.096408419 × 1010 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 598016 | 1 | 0.1% |
| 548381 | 1 | 0.1% |
| 1082607 | 1 | 0.1% |
| 501239 | 1 | 0.1% |
| 1082597 | 1 | 0.1% |
| 419161 | 1 | 0.1% |
| 981017 | 1 | 0.1% |
| 981009 | 1 | 0.1% |
| 598001 | 1 | 0.1% |
| 729289 | 1 | 0.1% |
| Other values (736) | 736 |
| Value | Count | Frequency (%) |
| 335982 | 1 | |
| 335983 | 1 | |
| 335984 | 1 | |
| 335985 | 1 | |
| 335986 | 1 | |
| 335987 | 1 | |
| 335988 | 1 | |
| 335989 | 1 | |
| 335990 | 1 | |
| 335991 | 1 |
| Value | Count | Frequency (%) |
| 1178425 | 1 | |
| 1178424 | 1 | |
| 1178423 | 1 | |
| 1178422 | 1 | |
| 1178421 | 1 | |
| 1178420 | 1 | |
| 1178419 | 1 | |
| 1178418 | 1 | |
| 1178417 | 1 | |
| 1178416 | 1 |
| Distinct | 12 |
|---|---|
| Distinct (%) | 1.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2013.369973 |
| Minimum | 2008 |
|---|---|
| Maximum | 2019 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.0 KiB |
Quantile statistics
| Minimum | 2008 |
|---|---|
| 5-th percentile | 2008 |
| Q1 | 2011 |
| median | 2013 |
| Q3 | 2016 |
| 95-th percentile | 2019 |
| Maximum | 2019 |
| Range | 11 |
| Interquartile range (IQR) | 5 |
Descriptive statistics
| Standard deviation | 3.326906256 |
|---|---|
| Coefficient of variation (CV) | 0.00165240681 |
| Kurtosis | -1.127006194 |
| Mean | 2013.369973 |
| Median Absolute Deviation (MAD) | 3 |
| Skewness | 0.06805433152 |
| Sum | 1501974 |
| Variance | 11.06830523 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=12)
| Value | Count | Frequency (%) |
| 2013 | 76 | |
| 2012 | 74 | |
| 2011 | 73 | |
| 2010 | 60 | |
| 2014 | 60 | |
| 2016 | 60 | |
| 2018 | 60 | |
| 2015 | 59 | |
| 2017 | 59 | |
| 2008 | 58 | |
| Other values (2) | 107 |
| Value | Count | Frequency (%) |
| 2008 | 58 | |
| 2009 | 57 | |
| 2010 | 60 | |
| 2011 | 73 | |
| 2012 | 74 | |
| 2013 | 76 | |
| 2014 | 60 | |
| 2015 | 59 | |
| 2016 | 60 | |
| 2017 | 59 |
| Value | Count | Frequency (%) |
| 2019 | 50 | |
| 2018 | 60 | |
| 2017 | 59 | |
| 2016 | 60 | |
| 2015 | 59 | |
| 2014 | 60 | |
| 2013 | 76 | |
| 2012 | 74 | |
| 2011 | 73 | |
| 2010 | 60 |
| Distinct | 30 |
|---|---|
| Distinct (%) | 4.1% |
| Missing | 13 |
| Missing (%) | 1.7% |
| Memory size | 6.0 KiB |
| Mumbai | |
|---|---|
| Kolkata | |
| Delhi | |
| Bangalore | |
| Hyderabad | |
| Other values (25) |
Length
| Max length | 14 |
|---|---|
| Median length | 7 |
| Mean length | 7.357435198 |
| Min length | 4 |
Characters and Unicode
| Total characters | 5393 |
|---|---|
| Distinct characters | 40 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Mumbai |
|---|---|
| 2nd row | Delhi |
| 3rd row | Mumbai |
| 4th row | Pune |
| 5th row | Mumbai |
Common Values
| Value | Count | Frequency (%) |
| Mumbai | 99 | |
| Kolkata | 77 | |
| Delhi | 73 | |
| Bangalore | 66 | |
| Hyderabad | 63 | |
| Chennai | 56 | 7.5% |
| Chandigarh | 54 | 7.2% |
| Jaipur | 47 | 6.3% |
| Pune | 38 | 5.1% |
| Durban | 15 | 2.0% |
| Other values (20) | 145 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| mumbai | 99 | |
| kolkata | 77 | |
| delhi | 73 | |
| bangalore | 66 | 8.7% |
| hyderabad | 63 | 8.3% |
| chennai | 56 | 7.4% |
| chandigarh | 54 | 7.1% |
| jaipur | 47 | 6.2% |
| pune | 38 | 5.0% |
| durban | 15 | 2.0% |
| Other values (24) | 169 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 923 | |
| i | 389 | 7.2% |
| n | 386 | 7.2% |
| e | 374 | 6.9% |
| r | 319 | 5.9% |
| h | 303 | 5.6% |
| u | 272 | 5.0% |
| l | 250 | 4.6% |
| b | 221 | 4.1% |
| d | 216 | 4.0% |
| Other values (30) | 1740 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 4612 | |
| Uppercase Letter | 757 | 14.0% |
| Space Separator | 24 | 0.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 923 | |
| i | 389 | |
| n | 386 | |
| e | 374 | 8.1% |
| r | 319 | 6.9% |
| h | 303 | 6.6% |
| u | 272 | 5.9% |
| l | 250 | 5.4% |
| b | 221 | 4.8% |
| d | 216 | 4.7% |
| Other values (13) | 959 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 136 | |
| D | 104 | |
| M | 99 | |
| K | 89 | |
| B | 81 | |
| H | 63 | |
| J | 55 | |
| P | 45 | 5.9% |
| R | 23 | 3.0% |
| A | 19 | 2.5% |
| Other values (6) | 43 | 5.7% |
Space Separator
| Value | Count | Frequency (%) |
| 24 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 5369 | |
| Common | 24 | 0.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 923 | |
| i | 389 | 7.2% |
| n | 386 | 7.2% |
| e | 374 | 7.0% |
| r | 319 | 5.9% |
| h | 303 | 5.6% |
| u | 272 | 5.1% |
| l | 250 | 4.7% |
| b | 221 | 4.1% |
| d | 216 | 4.0% |
| Other values (29) | 1716 |
Common
| Value | Count | Frequency (%) |
| 24 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 5393 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 923 | |
| i | 389 | 7.2% |
| n | 386 | 7.2% |
| e | 374 | 6.9% |
| r | 319 | 5.9% |
| h | 303 | 5.6% |
| u | 272 | 5.0% |
| l | 250 | 4.6% |
| b | 221 | 4.1% |
| d | 216 | 4.0% |
| Other values (30) | 1740 |
| Distinct | 538 |
|---|---|
| Distinct (%) | 72.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.0 KiB |
| 2012-05-06 | 2 |
|---|---|
| 2009-04-26 | 2 |
| 2015-05-04 | 2 |
| 2016-05-15 | 2 |
| 2017-05-01 | 2 |
| Other values (533) |
Length
| Max length | 10 |
|---|---|
| Median length | 10 |
| Mean length | 10 |
| Min length | 10 |
Characters and Unicode
| Total characters | 7460 |
|---|---|
| Distinct characters | 11 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 330 ? |
|---|---|
| Unique (%) | 44.2% |
Sample
| 1st row | 2010-04-24 |
|---|---|
| 2nd row | 2010-03-29 |
| 3rd row | 2008-05-16 |
| 4th row | 2016-04-22 |
| 5th row | 2010-04-22 |
Common Values
| Value | Count | Frequency (%) |
| 2012-05-06 | 2 | 0.3% |
| 2009-04-26 | 2 | 0.3% |
| 2015-05-04 | 2 | 0.3% |
| 2016-05-15 | 2 | 0.3% |
| 2017-05-01 | 2 | 0.3% |
| 2014-05-25 | 2 | 0.3% |
| 2012-05-19 | 2 | 0.3% |
| 2013-05-01 | 2 | 0.3% |
| 2014-05-19 | 2 | 0.3% |
| 2010-03-16 | 2 | 0.3% |
| Other values (528) | 726 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2012-05-06 | 2 | 0.3% |
| 2009-04-26 | 2 | 0.3% |
| 2015-05-04 | 2 | 0.3% |
| 2016-05-15 | 2 | 0.3% |
| 2017-05-01 | 2 | 0.3% |
| 2014-05-25 | 2 | 0.3% |
| 2012-05-19 | 2 | 0.3% |
| 2013-05-01 | 2 | 0.3% |
| 2014-05-19 | 2 | 0.3% |
| 2010-03-16 | 2 | 0.3% |
| Other values (528) | 726 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 1936 | |
| - | 1492 | |
| 2 | 1136 | |
| 1 | 1069 | |
| 4 | 500 | 6.7% |
| 5 | 469 | 6.3% |
| 3 | 212 | 2.8% |
| 8 | 193 | 2.6% |
| 9 | 185 | 2.5% |
| 7 | 140 | 1.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 5968 | |
| Dash Punctuation | 1492 | 20.0% |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 1936 | |
| 2 | 1136 | |
| 1 | 1069 | |
| 4 | 500 | 8.4% |
| 5 | 469 | 7.9% |
| 3 | 212 | 3.6% |
| 8 | 193 | 3.2% |
| 9 | 185 | 3.1% |
| 7 | 140 | 2.3% |
| 6 | 128 | 2.1% |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 1492 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 7460 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 1936 | |
| - | 1492 | |
| 2 | 1136 | |
| 1 | 1069 | |
| 4 | 500 | 6.7% |
| 5 | 469 | 6.3% |
| 3 | 212 | 2.8% |
| 8 | 193 | 2.6% |
| 9 | 185 | 2.5% |
| 7 | 140 | 1.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7460 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 1936 | |
| - | 1492 | |
| 2 | 1136 | |
| 1 | 1069 | |
| 4 | 500 | 6.7% |
| 5 | 469 | 6.3% |
| 3 | 212 | 2.8% |
| 8 | 193 | 2.6% |
| 9 | 185 | 2.5% |
| 7 | 140 | 1.9% |
| Distinct | 15 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.0 KiB |
| Royal Challengers Bangalore | |
|---|---|
| Chennai Super Kings | |
| Kolkata Knight Riders | |
| Mumbai Indians | |
| Kings XI Punjab | |
| Other values (10) |
Length
| Max length | 27 |
|---|---|
| Median length | 16 |
| Mean length | 18.16756032 |
| Min length | 13 |
Characters and Unicode
| Total characters | 13553 |
|---|---|
| Distinct characters | 37 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Royal Challengers Bangalore |
|---|---|
| 2nd row | Delhi Daredevils |
| 3rd row | Mumbai Indians |
| 4th row | Rising Pune Supergiants |
| 5th row | Chennai Super Kings |
Common Values
| Value | Count | Frequency (%) |
| Royal Challengers Bangalore | 97 | |
| Chennai Super Kings | 89 | |
| Kolkata Knight Riders | 85 | |
| Mumbai Indians | 84 | |
| Kings XI Punjab | 84 | |
| Delhi Daredevils | 83 | |
| Rajasthan Royals | 66 | |
| Sunrisers Hyderabad | 53 | |
| Deccan Chargers | 39 | |
| Pune Warriors | 23 | 3.1% |
| Other values (5) | 43 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| kings | 173 | 9.3% |
| royal | 97 | 5.2% |
| bangalore | 97 | 5.2% |
| challengers | 97 | 5.2% |
| delhi | 89 | 4.8% |
| chennai | 89 | 4.8% |
| super | 89 | 4.8% |
| knight | 85 | 4.6% |
| riders | 85 | 4.6% |
| kolkata | 85 | 4.6% |
| Other values (22) | 882 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1525 | 11.3% |
| 1122 | 8.3% | |
| n | 1121 | 8.3% |
| e | 1058 | 7.8% |
| i | 919 | 6.8% |
| s | 879 | 6.5% |
| r | 801 | 5.9% |
| l | 724 | 5.3% |
| g | 519 | 3.8% |
| h | 472 | 3.5% |
| Other values (27) | 4413 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 10479 | |
| Uppercase Letter | 1952 | 14.4% |
| Space Separator | 1122 | 8.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1525 | |
| n | 1121 | |
| e | 1058 | |
| i | 919 | |
| s | 879 | |
| r | 801 | 7.6% |
| l | 724 | 6.9% |
| g | 519 | 5.0% |
| h | 472 | 4.5% |
| o | 391 | 3.7% |
| Other values (11) | 2070 |
Uppercase Letter
| Value | Count | Frequency (%) |
| K | 357 | |
| R | 328 | |
| C | 231 | |
| D | 211 | |
| I | 168 | |
| S | 156 | |
| P | 121 | 6.2% |
| B | 97 | 5.0% |
| M | 84 | 4.3% |
| X | 84 | 4.3% |
| Other values (5) | 115 | 5.9% |
Space Separator
| Value | Count | Frequency (%) |
| 1122 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 12431 | |
| Common | 1122 | 8.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1525 | 12.3% |
| n | 1121 | 9.0% |
| e | 1058 | 8.5% |
| i | 919 | 7.4% |
| s | 879 | 7.1% |
| r | 801 | 6.4% |
| l | 724 | 5.8% |
| g | 519 | 4.2% |
| h | 472 | 3.8% |
| o | 391 | 3.1% |
| Other values (26) | 4022 |
Common
| Value | Count | Frequency (%) |
| 1122 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13553 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1525 | 11.3% |
| 1122 | 8.3% | |
| n | 1121 | 8.3% |
| e | 1058 | 7.8% |
| i | 919 | 6.8% |
| s | 879 | 6.5% |
| r | 801 | 5.9% |
| l | 724 | 5.3% |
| g | 519 | 3.8% |
| h | 472 | 3.5% |
| Other values (27) | 4413 |
| Distinct | 15 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.0 KiB |
| Mumbai Indians | |
|---|---|
| Kolkata Knight Riders | |
| Kings XI Punjab | |
| Royal Challengers Bangalore | |
| Rajasthan Royals | |
| Other values (10) |
Length
| Max length | 27 |
|---|---|
| Median length | 16 |
| Mean length | 17.88739946 |
| Min length | 13 |
Characters and Unicode
| Total characters | 13344 |
|---|---|
| Distinct characters | 37 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Deccan Chargers |
|---|---|
| 2nd row | Kolkata Knight Riders |
| 3rd row | Kolkata Knight Riders |
| 4th row | Royal Challengers Bangalore |
| 5th row | Deccan Chargers |
Common Values
| Value | Count | Frequency (%) |
| Mumbai Indians | 99 | |
| Kolkata Knight Riders | 91 | |
| Kings XI Punjab | 90 | |
| Royal Challengers Bangalore | 82 | |
| Rajasthan Royals | 80 | |
| Delhi Daredevils | 78 | |
| Chennai Super Kings | 71 | |
| Sunrisers Hyderabad | 52 | |
| Deccan Chargers | 36 | 4.8% |
| Pune Warriors | 23 | 3.1% |
| Other values (5) | 44 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| kings | 161 | 8.7% |
| mumbai | 99 | 5.4% |
| indians | 99 | 5.4% |
| kolkata | 91 | 4.9% |
| knight | 91 | 4.9% |
| riders | 91 | 4.9% |
| xi | 90 | 4.9% |
| punjab | 90 | 4.9% |
| delhi | 85 | 4.6% |
| royal | 82 | 4.4% |
| Other values (22) | 870 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1538 | 11.5% |
| 1103 | 8.3% | |
| n | 1099 | 8.2% |
| e | 965 | 7.2% |
| i | 926 | 6.9% |
| s | 892 | 6.7% |
| r | 745 | 5.6% |
| l | 676 | 5.1% |
| g | 484 | 3.6% |
| h | 452 | 3.4% |
| Other values (27) | 4464 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 10302 | |
| Uppercase Letter | 1939 | 14.5% |
| Space Separator | 1103 | 8.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1538 | |
| n | 1099 | |
| e | 965 | |
| i | 926 | |
| s | 892 | |
| r | 745 | 7.2% |
| l | 676 | 6.6% |
| g | 484 | 4.7% |
| h | 452 | 4.4% |
| u | 388 | 3.8% |
| Other values (11) | 2137 |
Uppercase Letter
| Value | Count | Frequency (%) |
| K | 357 | |
| R | 349 | |
| D | 199 | |
| C | 196 | |
| I | 189 | |
| S | 139 | 7.2% |
| P | 129 | 6.7% |
| M | 99 | 5.1% |
| X | 90 | 4.6% |
| B | 82 | 4.2% |
| Other values (5) | 110 | 5.7% |
Space Separator
| Value | Count | Frequency (%) |
| 1103 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 12241 | |
| Common | 1103 | 8.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1538 | 12.6% |
| n | 1099 | 9.0% |
| e | 965 | 7.9% |
| i | 926 | 7.6% |
| s | 892 | 7.3% |
| r | 745 | 6.1% |
| l | 676 | 5.5% |
| g | 484 | 4.0% |
| h | 452 | 3.7% |
| u | 388 | 3.2% |
| Other values (26) | 4076 |
Common
| Value | Count | Frequency (%) |
| 1103 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13344 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1538 | 11.5% |
| 1103 | 8.3% | |
| n | 1099 | 8.2% |
| e | 965 | 7.2% |
| i | 926 | 6.9% |
| s | 892 | 6.7% |
| r | 745 | 5.6% |
| l | 676 | 5.1% |
| g | 484 | 3.6% |
| h | 452 | 3.4% |
| Other values (27) | 4464 |
| Distinct | 15 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.0 KiB |
| Mumbai Indians | |
|---|---|
| Kolkata Knight Riders | |
| Chennai Super Kings | |
| Royal Challengers Bangalore | |
| Delhi Daredevils | |
| Other values (10) |
Length
| Max length | 27 |
|---|---|
| Median length | 16 |
| Mean length | 17.89678284 |
| Min length | 13 |
Characters and Unicode
| Total characters | 13351 |
|---|---|
| Distinct characters | 37 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Deccan Chargers |
|---|---|
| 2nd row | Delhi Daredevils |
| 3rd row | Mumbai Indians |
| 4th row | Rising Pune Supergiants |
| 5th row | Chennai Super Kings |
Common Values
| Value | Count | Frequency (%) |
| Mumbai Indians | 95 | |
| Kolkata Knight Riders | 91 | |
| Chennai Super Kings | 87 | |
| Royal Challengers Bangalore | 80 | |
| Delhi Daredevils | 80 | |
| Kings XI Punjab | 80 | |
| Rajasthan Royals | 79 | |
| Sunrisers Hyderabad | 46 | |
| Deccan Chargers | 43 | |
| Pune Warriors | 20 | 2.7% |
| Other values (5) | 45 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| kings | 167 | 9.0% |
| mumbai | 95 | 5.1% |
| indians | 95 | 5.1% |
| kolkata | 91 | 4.9% |
| knight | 91 | 4.9% |
| riders | 91 | 4.9% |
| delhi | 89 | 4.8% |
| super | 87 | 4.7% |
| chennai | 87 | 4.7% |
| bangalore | 80 | 4.3% |
| Other values (22) | 878 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1530 | 11.5% |
| 1105 | 8.3% | |
| n | 1104 | 8.3% |
| e | 994 | 7.4% |
| i | 932 | 7.0% |
| s | 886 | 6.6% |
| r | 746 | 5.6% |
| l | 676 | 5.1% |
| g | 487 | 3.6% |
| h | 477 | 3.6% |
| Other values (27) | 4414 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 10315 | |
| Uppercase Letter | 1931 | 14.5% |
| Space Separator | 1105 | 8.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1530 | |
| n | 1104 | |
| e | 994 | |
| i | 932 | |
| s | 886 | |
| r | 746 | 7.2% |
| l | 676 | 6.6% |
| g | 487 | 4.7% |
| h | 477 | 4.6% |
| u | 377 | 3.7% |
| Other values (11) | 2106 |
Uppercase Letter
| Value | Count | Frequency (%) |
| K | 365 | |
| R | 342 | |
| C | 219 | |
| D | 212 | |
| I | 175 | |
| S | 146 | 7.6% |
| P | 113 | 5.9% |
| M | 95 | 4.9% |
| X | 80 | 4.1% |
| B | 80 | 4.1% |
| Other values (5) | 104 | 5.4% |
Space Separator
| Value | Count | Frequency (%) |
| 1105 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 12246 | |
| Common | 1105 | 8.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1530 | 12.5% |
| n | 1104 | 9.0% |
| e | 994 | 8.1% |
| i | 932 | 7.6% |
| s | 886 | 7.2% |
| r | 746 | 6.1% |
| l | 676 | 5.5% |
| g | 487 | 4.0% |
| h | 477 | 3.9% |
| u | 377 | 3.1% |
| Other values (26) | 4037 |
Common
| Value | Count | Frequency (%) |
| 1105 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13351 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1530 | 11.5% |
| 1105 | 8.3% | |
| n | 1104 | 8.3% |
| e | 994 | 7.4% |
| i | 932 | 7.0% |
| s | 886 | 6.6% |
| r | 746 | 5.6% |
| l | 676 | 5.1% |
| g | 487 | 3.6% |
| h | 477 | 3.6% |
| Other values (27) | 4414 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.0 KiB |
| field | |
|---|---|
| bat |
Length
| Max length | 5 |
|---|---|
| Median length | 5 |
| Mean length | 4.225201072 |
| Min length | 3 |
Characters and Unicode
| Total characters | 3152 |
|---|---|
| Distinct characters | 8 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | bat |
|---|---|
| 2nd row | bat |
| 3rd row | field |
| 4th row | field |
| 5th row | bat |
Common Values
| Value | Count | Frequency (%) |
| field | 457 | |
| bat | 289 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| field | 457 | |
| bat | 289 |
Most occurring characters
| Value | Count | Frequency (%) |
| f | 457 | |
| i | 457 | |
| e | 457 | |
| l | 457 | |
| d | 457 | |
| b | 289 | |
| a | 289 | |
| t | 289 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 3152 |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| f | 457 | |
| i | 457 | |
| e | 457 | |
| l | 457 | |
| d | 457 | |
| b | 289 | |
| a | 289 | |
| t | 289 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 3152 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| f | 457 | |
| i | 457 | |
| e | 457 | |
| l | 457 | |
| d | 457 | |
| b | 289 | |
| a | 289 | |
| t | 289 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 3152 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| f | 457 | |
| i | 457 | |
| e | 457 | |
| l | 457 | |
| d | 457 | |
| b | 289 | |
| a | 289 | |
| t | 289 |
| Distinct | 15 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 12 |
| Missing (%) | 1.6% |
| Memory size | 6.0 KiB |
| Mumbai Indians | |
|---|---|
| Chennai Super Kings | |
| Kolkata Knight Riders | |
| Royal Challengers Bangalore | |
| Kings XI Punjab | |
| Other values (10) |
Length
| Max length | 27 |
|---|---|
| Median length | 16 |
| Mean length | 18.09673025 |
| Min length | 13 |
Characters and Unicode
| Total characters | 13283 |
|---|---|
| Distinct characters | 37 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Royal Challengers Bangalore |
|---|---|
| 2nd row | Delhi Daredevils |
| 3rd row | Mumbai Indians |
| 4th row | Royal Challengers Bangalore |
| 5th row | Chennai Super Kings |
Common Values
| Value | Count | Frequency (%) |
| Mumbai Indians | 104 | |
| Chennai Super Kings | 99 | |
| Kolkata Knight Riders | 91 | |
| Royal Challengers Bangalore | 82 | |
| Kings XI Punjab | 79 | |
| Rajasthan Royals | 73 | |
| Delhi Daredevils | 67 | |
| Sunrisers Hyderabad | 57 | |
| Deccan Chargers | 29 | 3.9% |
| Gujarat Lions | 13 | 1.7% |
| Other values (5) | 40 | 5.4% |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| kings | 178 | 9.7% |
| mumbai | 104 | 5.7% |
| indians | 104 | 5.7% |
| chennai | 99 | 5.4% |
| super | 99 | 5.4% |
| kolkata | 91 | 4.9% |
| knight | 91 | 4.9% |
| riders | 91 | 4.9% |
| royal | 82 | 4.5% |
| bangalore | 82 | 4.5% |
| Other values (22) | 819 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1506 | 11.3% |
| n | 1147 | 8.6% |
| 1106 | 8.3% | |
| e | 969 | 7.3% |
| i | 948 | 7.1% |
| s | 875 | 6.6% |
| r | 726 | 5.5% |
| l | 646 | 4.9% |
| g | 492 | 3.7% |
| h | 454 | 3.4% |
| Other values (27) | 4414 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 10258 | |
| Uppercase Letter | 1919 | 14.4% |
| Space Separator | 1106 | 8.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1506 | |
| n | 1147 | |
| e | 969 | |
| i | 948 | |
| s | 875 | |
| r | 726 | 7.1% |
| l | 646 | 6.3% |
| g | 492 | 4.8% |
| h | 454 | 4.4% |
| u | 400 | 3.9% |
| Other values (11) | 2095 |
Uppercase Letter
| Value | Count | Frequency (%) |
| K | 372 | |
| R | 334 | |
| C | 217 | |
| I | 183 | |
| S | 171 | |
| D | 170 | |
| P | 106 | 5.5% |
| M | 104 | 5.4% |
| B | 82 | 4.3% |
| X | 79 | 4.1% |
| Other values (5) | 101 | 5.3% |
Space Separator
| Value | Count | Frequency (%) |
| 1106 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 12177 | |
| Common | 1106 | 8.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1506 | 12.4% |
| n | 1147 | 9.4% |
| e | 969 | 8.0% |
| i | 948 | 7.8% |
| s | 875 | 7.2% |
| r | 726 | 6.0% |
| l | 646 | 5.3% |
| g | 492 | 4.0% |
| h | 454 | 3.7% |
| u | 400 | 3.3% |
| Other values (26) | 4014 |
Common
| Value | Count | Frequency (%) |
| 1106 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13283 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1506 | 11.3% |
| n | 1147 | 8.6% |
| 1106 | 8.3% | |
| e | 969 | 7.3% |
| i | 948 | 7.1% |
| s | 875 | 6.6% |
| r | 726 | 5.5% |
| l | 646 | 4.9% |
| g | 492 | 3.7% |
| h | 454 | 3.4% |
| Other values (27) | 4414 |
| Distinct | 6 |
|---|---|
| Distinct (%) | 75.0% |
| Missing | 738 |
| Missing (%) | 98.9% |
| Memory size | 6.0 KiB |
| Rajasthan Royals | |
|---|---|
| Kings XI Punjab | |
| Sunrisers Hyderabad | |
| Royal Challengers Bangalore | |
| Delhi Capitals |
Length
| Max length | 27 |
|---|---|
| Median length | 15.5 |
| Mean length | 17 |
| Min length | 14 |
Characters and Unicode
| Total characters | 136 |
|---|---|
| Distinct characters | 30 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 4 ? |
|---|---|
| Unique (%) | 50.0% |
Sample
| 1st row | Kings XI Punjab |
|---|---|
| 2nd row | Royal Challengers Bangalore |
| 3rd row | Rajasthan Royals |
| 4th row | Sunrisers Hyderabad |
| 5th row | Delhi Capitals |
Common Values
| Value | Count | Frequency (%) |
| Rajasthan Royals | 2 | 0.3% |
| Kings XI Punjab | 2 | 0.3% |
| Sunrisers Hyderabad | 1 | 0.1% |
| Royal Challengers Bangalore | 1 | 0.1% |
| Delhi Capitals | 1 | 0.1% |
| Mumbai Indians | 1 | 0.1% |
| (Missing) | 738 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| xi | 2 | |
| royals | 2 | |
| kings | 2 | |
| rajasthan | 2 | |
| punjab | 2 | |
| mumbai | 1 | 5.3% |
| indians | 1 | 5.3% |
| challengers | 1 | 5.3% |
| delhi | 1 | 5.3% |
| capitals | 1 | 5.3% |
| Other values (4) | 4 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 20 | |
| n | 11 | 8.1% |
| s | 11 | 8.1% |
| 11 | 8.1% | |
| l | 8 | 5.9% |
| i | 7 | 5.1% |
| e | 6 | 4.4% |
| R | 5 | 3.7% |
| r | 5 | 3.7% |
| g | 4 | 2.9% |
| Other values (20) | 48 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 104 | |
| Uppercase Letter | 21 | 15.4% |
| Space Separator | 11 | 8.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 20 | |
| n | 11 | |
| s | 11 | |
| l | 8 | 7.7% |
| i | 7 | 6.7% |
| e | 6 | 5.8% |
| r | 5 | 4.8% |
| g | 4 | 3.8% |
| u | 4 | 3.8% |
| j | 4 | 3.8% |
| Other values (8) | 24 |
Uppercase Letter
| Value | Count | Frequency (%) |
| R | 5 | |
| I | 3 | |
| K | 2 | 9.5% |
| X | 2 | 9.5% |
| P | 2 | 9.5% |
| C | 2 | 9.5% |
| B | 1 | 4.8% |
| S | 1 | 4.8% |
| H | 1 | 4.8% |
| D | 1 | 4.8% |
Space Separator
| Value | Count | Frequency (%) |
| 11 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 125 | |
| Common | 11 | 8.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 20 | |
| n | 11 | 8.8% |
| s | 11 | 8.8% |
| l | 8 | 6.4% |
| i | 7 | 5.6% |
| e | 6 | 4.8% |
| R | 5 | 4.0% |
| r | 5 | 4.0% |
| g | 4 | 3.2% |
| u | 4 | 3.2% |
| Other values (19) | 44 |
Common
| Value | Count | Frequency (%) |
| 11 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 136 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 20 | |
| n | 11 | 8.1% |
| s | 11 | 8.1% |
| 11 | 8.1% | |
| l | 8 | 5.9% |
| i | 7 | 5.1% |
| e | 6 | 4.4% |
| R | 5 | 3.7% |
| r | 5 | 3.7% |
| g | 4 | 2.9% |
| Other values (20) | 48 |
| Distinct | 1 |
|---|---|
| Distinct (%) | 5.3% |
| Missing | 727 |
| Missing (%) | 97.5% |
| Memory size | 6.0 KiB |
| D/L |
|---|
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 57 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | D/L |
|---|---|
| 2nd row | D/L |
| 3rd row | D/L |
| 4th row | D/L |
| 5th row | D/L |
Common Values
| Value | Count | Frequency (%) |
| D/L | 19 | 2.5% |
| (Missing) | 727 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| d/l | 19 |
Most occurring characters
| Value | Count | Frequency (%) |
| D | 19 | |
| / | 19 | |
| L | 19 |
Most occurring categories
| Value | Count | Frequency (%) |
| Uppercase Letter | 38 | |
| Other Punctuation | 19 |
Most frequent character per category
Uppercase Letter
| Value | Count | Frequency (%) |
| D | 19 | |
| L | 19 |
Other Punctuation
| Value | Count | Frequency (%) |
| / | 19 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 38 | |
| Common | 19 |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| D | 19 | |
| L | 19 |
Common
| Value | Count | Frequency (%) |
| / | 19 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 57 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| D | 19 | |
| / | 19 | |
| L | 19 |
| Distinct | 88 |
|---|---|
| Distinct (%) | 26.2% |
| Missing | 410 |
| Missing (%) | 55.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 29.88392857 |
| Minimum | 1 |
|---|---|
| Maximum | 146 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.0 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 11 |
| median | 22 |
| Q3 | 39 |
| 95-th percentile | 86 |
| Maximum | 146 |
| Range | 145 |
| Interquartile range (IQR) | 28 |
Descriptive statistics
| Standard deviation | 27.27682704 |
|---|---|
| Coefficient of variation (CV) | 0.9127590762 |
| Kurtosis | 3.448360412 |
| Mean | 29.88392857 |
| Median Absolute Deviation (MAD) | 13 |
| Skewness | 1.757294972 |
| Sum | 10041 |
| Variance | 744.0252932 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 14 | 13 | 1.7% |
| 4 | 11 | 1.5% |
| 10 | 11 | 1.5% |
| 9 | 9 | 1.2% |
| 13 | 9 | 1.2% |
| 23 | 9 | 1.2% |
| 7 | 9 | 1.2% |
| 1 | 9 | 1.2% |
| 22 | 9 | 1.2% |
| 15 | 9 | 1.2% |
| Other values (78) | 238 | |
| (Missing) | 410 |
| Value | Count | Frequency (%) |
| 1 | 9 | |
| 2 | 7 | |
| 3 | 5 | |
| 4 | 11 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | 9 | |
| 8 | 5 | |
| 9 | 9 | |
| 10 | 11 |
| Value | Count | Frequency (%) |
| 146 | 1 | |
| 144 | 1 | |
| 140 | 1 | |
| 138 | 1 | |
| 130 | 1 | |
| 118 | 1 | |
| 111 | 1 | |
| 105 | 1 | |
| 102 | 1 | |
| 98 | 1 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 2.5% |
| Missing | 348 |
| Missing (%) | 46.6% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 6.251256281 |
| Minimum | 1 |
|---|---|
| Maximum | 10 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.0 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 5 |
| median | 6 |
| Q3 | 8 |
| 95-th percentile | 9 |
| Maximum | 10 |
| Range | 9 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.821280843 |
|---|---|
| Coefficient of variation (CV) | 0.2913463728 |
| Kurtosis | -0.2611319693 |
| Mean | 6.251256281 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.1604678764 |
| Sum | 2488 |
| Variance | 3.317063909 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 6 | 82 | 11.0% |
| 7 | 79 | 10.6% |
| 5 | 70 | 9.4% |
| 8 | 54 | 7.2% |
| 4 | 40 | 5.4% |
| 9 | 36 | 4.8% |
| 3 | 18 | 2.4% |
| 10 | 11 | 1.5% |
| 2 | 5 | 0.7% |
| 1 | 3 | 0.4% |
| (Missing) | 348 |
| Value | Count | Frequency (%) |
| 1 | 3 | 0.4% |
| 2 | 5 | 0.7% |
| 3 | 18 | 2.4% |
| 4 | 40 | |
| 5 | 70 | |
| 6 | 82 | |
| 7 | 79 | |
| 8 | 54 | |
| 9 | 36 | |
| 10 | 11 | 1.5% |
| Value | Count | Frequency (%) |
| 10 | 11 | 1.5% |
| 9 | 36 | |
| 8 | 54 | |
| 7 | 79 | |
| 6 | 82 | |
| 5 | 70 | |
| 4 | 40 | |
| 3 | 18 | 2.4% |
| 2 | 5 | 0.7% |
| 1 | 3 | 0.4% |
| Distinct | 2 |
|---|---|
| Distinct (%) | 16.7% |
| Missing | 734 |
| Missing (%) | 98.4% |
| Memory size | 6.0 KiB |
| tie | |
|---|---|
| no result |
Length
| Max length | 9 |
|---|---|
| Median length | 3 |
| Mean length | 5 |
| Min length | 3 |
Characters and Unicode
| Total characters | 60 |
|---|---|
| Distinct characters | 10 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | no result |
|---|---|
| 2nd row | tie |
| 3rd row | no result |
| 4th row | no result |
| 5th row | no result |
Common Values
| Value | Count | Frequency (%) |
| tie | 8 | 1.1% |
| no result | 4 | 0.5% |
| (Missing) | 734 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| tie | 8 | |
| no | 4 | |
| result | 4 |
Most occurring characters
| Value | Count | Frequency (%) |
| e | 12 | |
| t | 12 | |
| i | 8 | |
| n | 4 | 6.7% |
| o | 4 | 6.7% |
| 4 | 6.7% | |
| r | 4 | 6.7% |
| s | 4 | 6.7% |
| u | 4 | 6.7% |
| l | 4 | 6.7% |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 56 | |
| Space Separator | 4 | 6.7% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| e | 12 | |
| t | 12 | |
| i | 8 | |
| n | 4 | 7.1% |
| o | 4 | 7.1% |
| r | 4 | 7.1% |
| s | 4 | 7.1% |
| u | 4 | 7.1% |
| l | 4 | 7.1% |
Space Separator
| Value | Count | Frequency (%) |
| 4 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 56 | |
| Common | 4 | 6.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| e | 12 | |
| t | 12 | |
| i | 8 | |
| n | 4 | 7.1% |
| o | 4 | 7.1% |
| r | 4 | 7.1% |
| s | 4 | 7.1% |
| u | 4 | 7.1% |
| l | 4 | 7.1% |
Common
| Value | Count | Frequency (%) |
| 4 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 60 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| e | 12 | |
| t | 12 | |
| i | 8 | |
| n | 4 | 6.7% |
| o | 4 | 6.7% |
| 4 | 6.7% | |
| r | 4 | 6.7% |
| s | 4 | 6.7% |
| u | 4 | 6.7% |
| l | 4 | 6.7% |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.0 KiB |
| 20 |
|---|
Length
| Max length | 2 |
|---|---|
| Median length | 2 |
| Mean length | 2 |
| Min length | 2 |
Characters and Unicode
| Total characters | 1492 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 20 |
|---|---|
| 2nd row | 20 |
| 3rd row | 20 |
| 4th row | 20 |
| 5th row | 20 |
Common Values
| Value | Count | Frequency (%) |
| 20 | 746 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 20 | 746 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 746 | |
| 0 | 746 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1492 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 746 | |
| 0 | 746 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1492 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 746 | |
| 0 | 746 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1492 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 746 | |
| 0 | 746 |
| Distinct | 223 |
|---|---|
| Distinct (%) | 30.1% |
| Missing | 4 |
| Missing (%) | 0.5% |
| Memory size | 6.0 KiB |
| CH Gayle | 21 |
|---|---|
| AB de Villiers | 20 |
| RG Sharma | 17 |
| DA Warner | 17 |
| MS Dhoni | 17 |
| Other values (218) |
Length
| Max length | 17 |
|---|---|
| Median length | 9 |
| Mean length | 9.455525606 |
| Min length | 5 |
Characters and Unicode
| Total characters | 7016 |
|---|---|
| Distinct characters | 53 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 94 ? |
|---|---|
| Unique (%) | 12.7% |
Sample
| 1st row | A Kumble |
|---|---|
| 2nd row | DA Warner |
| 3rd row | SM Pollock |
| 4th row | AB de Villiers |
| 5th row | DE Bollinger |
Common Values
| Value | Count | Frequency (%) |
| CH Gayle | 21 | 2.8% |
| AB de Villiers | 20 | 2.7% |
| RG Sharma | 17 | 2.3% |
| DA Warner | 17 | 2.3% |
| MS Dhoni | 17 | 2.3% |
| YK Pathan | 16 | 2.1% |
| SR Watson | 15 | 2.0% |
| SK Raina | 14 | 1.9% |
| G Gambhir | 13 | 1.7% |
| MEK Hussey | 12 | 1.6% |
| Other values (213) | 580 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| sharma | 29 | 1.9% |
| a | 25 | 1.7% |
| sr | 23 | 1.5% |
| ch | 23 | 1.5% |
| v | 23 | 1.5% |
| de | 23 | 1.5% |
| ab | 22 | 1.5% |
| gayle | 21 | 1.4% |
| da | 20 | 1.3% |
| sk | 20 | 1.3% |
| Other values (344) | 1285 |
Most occurring characters
| Value | Count | Frequency (%) |
| 772 | 11.0% | |
| a | 772 | 11.0% |
| e | 339 | 4.8% |
| n | 336 | 4.8% |
| r | 325 | 4.6% |
| i | 323 | 4.6% |
| h | 315 | 4.5% |
| l | 298 | 4.2% |
| S | 274 | 3.9% |
| s | 203 | 2.9% |
| Other values (43) | 3059 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 4128 | |
| Uppercase Letter | 2112 | |
| Space Separator | 772 | 11.0% |
| Dash Punctuation | 4 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 772 | |
| e | 339 | 8.2% |
| n | 336 | 8.1% |
| r | 325 | 7.9% |
| i | 323 | 7.8% |
| h | 315 | 7.6% |
| l | 298 | 7.2% |
| s | 203 | 4.9% |
| t | 160 | 3.9% |
| o | 159 | 3.9% |
| Other values (16) | 898 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 274 | |
| A | 191 | 9.0% |
| M | 186 | 8.8% |
| R | 172 | 8.1% |
| K | 158 | 7.5% |
| P | 142 | 6.7% |
| D | 124 | 5.9% |
| J | 106 | 5.0% |
| G | 100 | 4.7% |
| H | 99 | 4.7% |
| Other values (15) | 560 |
Space Separator
| Value | Count | Frequency (%) |
| 772 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 4 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 6240 | |
| Common | 776 | 11.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 772 | 12.4% |
| e | 339 | 5.4% |
| n | 336 | 5.4% |
| r | 325 | 5.2% |
| i | 323 | 5.2% |
| h | 315 | 5.0% |
| l | 298 | 4.8% |
| S | 274 | 4.4% |
| s | 203 | 3.3% |
| A | 191 | 3.1% |
| Other values (41) | 2864 |
Common
| Value | Count | Frequency (%) |
| 772 | ||
| - | 4 | 0.5% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7016 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 772 | 11.0% | |
| a | 772 | 11.0% |
| e | 339 | 4.8% |
| n | 336 | 4.8% |
| r | 325 | 4.6% |
| i | 323 | 4.6% |
| h | 315 | 4.5% |
| l | 298 | 4.2% |
| S | 274 | 3.9% |
| s | 203 | 2.9% |
| Other values (43) | 3059 |
| Distinct | 36 |
|---|---|
| Distinct (%) | 4.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.0 KiB |
| Eden Gardens | |
|---|---|
| Feroz Shah Kotla | |
| Wankhede Stadium | |
| M Chinnaswamy Stadium | |
| Rajiv Gandhi International Stadium, Uppal | |
| Other values (31) |
Length
| Max length | 52 |
|---|---|
| Median length | 21 |
| Mean length | 24.98257373 |
| Min length | 8 |
Characters and Unicode
| Total characters | 18637 |
|---|---|
| Distinct characters | 53 |
| Distinct categories | 5 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Dr DY Patil Sports Academy |
|---|---|
| 2nd row | Feroz Shah Kotla |
| 3rd row | Wankhede Stadium |
| 4th row | Maharashtra Cricket Association Stadium |
| 5th row | Dr DY Patil Sports Academy |
Common Values
| Value | Count | Frequency (%) |
| Eden Gardens | 77 | 10.3% |
| Feroz Shah Kotla | 73 | 9.8% |
| Wankhede Stadium | 71 | 9.5% |
| M Chinnaswamy Stadium | 66 | 8.8% |
| Rajiv Gandhi International Stadium, Uppal | 63 | 8.4% |
| MA Chidambaram Stadium, Chepauk | 56 | 7.5% |
| Sawai Mansingh Stadium | 47 | 6.3% |
| Punjab Cricket Association Stadium, Mohali | 35 | 4.7% |
| Maharashtra Cricket Association Stadium | 21 | 2.8% |
| Punjab Cricket Association IS Bindra Stadium, Mohali | 19 | 2.5% |
| Other values (26) | 218 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| stadium | 526 | |
| cricket | 130 | 5.2% |
| association | 97 | 3.9% |
| international | 83 | 3.3% |
| eden | 77 | 3.1% |
| gardens | 77 | 3.1% |
| kotla | 73 | 2.9% |
| shah | 73 | 2.9% |
| feroz | 73 | 2.9% |
| wankhede | 71 | 2.8% |
| Other values (65) | 1234 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 2446 | 13.1% |
| 1768 | 9.5% | |
| i | 1435 | 7.7% |
| t | 1127 | 6.0% |
| n | 1021 | 5.5% |
| d | 998 | 5.4% |
| e | 862 | 4.6% |
| S | 812 | 4.4% |
| r | 781 | 4.2% |
| m | 771 | 4.1% |
| Other values (43) | 6616 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 13884 | |
| Uppercase Letter | 2733 | 14.7% |
| Space Separator | 1768 | 9.5% |
| Other Punctuation | 241 | 1.3% |
| Dash Punctuation | 11 | 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 2446 | |
| i | 1435 | |
| t | 1127 | 8.1% |
| n | 1021 | 7.4% |
| d | 998 | 7.2% |
| e | 862 | 6.2% |
| r | 781 | 5.6% |
| m | 771 | 5.6% |
| h | 725 | 5.2% |
| u | 703 | 5.1% |
| Other values (15) | 3015 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 812 | |
| C | 357 | |
| M | 269 | 9.8% |
| A | 210 | 7.7% |
| G | 151 | 5.5% |
| P | 118 | 4.3% |
| R | 102 | 3.7% |
| I | 102 | 3.7% |
| K | 88 | 3.2% |
| W | 79 | 2.9% |
| Other values (13) | 445 |
Other Punctuation
| Value | Count | Frequency (%) |
| , | 188 | |
| . | 46 | 19.1% |
| ' | 7 | 2.9% |
Space Separator
| Value | Count | Frequency (%) |
| 1768 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 11 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 16617 | |
| Common | 2020 | 10.8% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 2446 | |
| i | 1435 | 8.6% |
| t | 1127 | 6.8% |
| n | 1021 | 6.1% |
| d | 998 | 6.0% |
| e | 862 | 5.2% |
| S | 812 | 4.9% |
| r | 781 | 4.7% |
| m | 771 | 4.6% |
| h | 725 | 4.4% |
| Other values (38) | 5639 |
Common
| Value | Count | Frequency (%) |
| 1768 | ||
| , | 188 | 9.3% |
| . | 46 | 2.3% |
| - | 11 | 0.5% |
| ' | 7 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 18637 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 2446 | 13.1% |
| 1768 | 9.5% | |
| i | 1435 | 7.7% |
| t | 1127 | 6.0% |
| n | 1021 | 5.5% |
| d | 998 | 5.4% |
| e | 862 | 4.6% |
| S | 812 | 4.4% |
| r | 781 | 4.2% |
| m | 771 | 4.1% |
| Other values (43) | 6616 |
| Distinct | 49 |
|---|---|
| Distinct (%) | 6.6% |
| Missing | 1 |
| Missing (%) | 0.1% |
| Memory size | 6.0 KiB |
| HDPK Dharmasena | |
|---|---|
| Asad Rauf | |
| AK Chaudhary | 47 |
| M Erasmus | 40 |
| Aleem Dar | 38 |
| Other values (44) |
Length
| Max length | 21 |
|---|---|
| Median length | 10 |
| Mean length | 10.66845638 |
| Min length | 5 |
Characters and Unicode
| Total characters | 7948 |
|---|---|
| Distinct characters | 47 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 3 ? |
|---|---|
| Unique (%) | 0.4% |
Sample
| 1st row | RE Koertzen |
|---|---|
| 2nd row | SS Hazare |
| 3rd row | BR Doctrove |
| 4th row | CB Gaffaney |
| 5th row | BR Doctrove |
Common Values
| Value | Count | Frequency (%) |
| HDPK Dharmasena | 78 | 10.5% |
| Asad Rauf | 51 | 6.8% |
| AK Chaudhary | 47 | 6.3% |
| M Erasmus | 40 | 5.4% |
| Aleem Dar | 38 | 5.1% |
| BF Bowden | 37 | 5.0% |
| S Ravi | 36 | 4.8% |
| BR Doctrove | 34 | 4.6% |
| AY Dandekar | 24 | 3.2% |
| KN Ananthapadmanabhan | 23 | 3.1% |
| Other values (39) | 337 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| dharmasena | 78 | 5.2% |
| hdpk | 78 | 5.2% |
| s | 65 | 4.3% |
| asad | 51 | 3.4% |
| rauf | 51 | 3.4% |
| chaudhary | 47 | 3.1% |
| ak | 47 | 3.1% |
| erasmus | 40 | 2.7% |
| m | 40 | 2.7% |
| aleem | 38 | 2.5% |
| Other values (83) | 968 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1006 | 12.7% |
| 758 | 9.5% | |
| n | 519 | 6.5% |
| e | 498 | 6.3% |
| r | 448 | 5.6% |
| h | 319 | 4.0% |
| D | 310 | 3.9% |
| s | 297 | 3.7% |
| d | 272 | 3.4% |
| A | 251 | 3.2% |
| Other values (37) | 3270 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 5020 | |
| Uppercase Letter | 2170 | |
| Space Separator | 758 | 9.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1006 | |
| n | 519 | |
| e | 498 | |
| r | 448 | |
| h | 319 | 6.4% |
| s | 297 | 5.9% |
| d | 272 | 5.4% |
| o | 237 | 4.7% |
| m | 201 | 4.0% |
| u | 184 | 3.7% |
| Other values (14) | 1039 |
Uppercase Letter
| Value | Count | Frequency (%) |
| D | 310 | |
| A | 251 | |
| K | 239 | |
| B | 189 | |
| R | 180 | 8.3% |
| S | 128 | 5.9% |
| C | 119 | 5.5% |
| H | 115 | 5.3% |
| N | 92 | 4.2% |
| J | 87 | 4.0% |
| Other values (12) | 460 |
Space Separator
| Value | Count | Frequency (%) |
| 758 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 7190 | |
| Common | 758 | 9.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1006 | 14.0% |
| n | 519 | 7.2% |
| e | 498 | 6.9% |
| r | 448 | 6.2% |
| h | 319 | 4.4% |
| D | 310 | 4.3% |
| s | 297 | 4.1% |
| d | 272 | 3.8% |
| A | 251 | 3.5% |
| K | 239 | 3.3% |
| Other values (36) | 3031 |
Common
| Value | Count | Frequency (%) |
| 758 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7948 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1006 | 12.7% |
| 758 | 9.5% | |
| n | 519 | 6.5% |
| e | 498 | 6.3% |
| r | 448 | 5.6% |
| h | 319 | 4.0% |
| D | 310 | 3.9% |
| s | 297 | 3.7% |
| d | 272 | 3.4% |
| A | 251 | 3.2% |
| Other values (37) | 3270 |
| Distinct | 48 |
|---|---|
| Distinct (%) | 6.4% |
| Missing | 1 |
| Missing (%) | 0.1% |
| Memory size | 6.0 KiB |
| S Ravi | |
|---|---|
| C Shamshuddin | |
| SJA Taufel | |
| CK Nandan | |
| RJ Tucker | 41 |
| Other values (43) |
Length
| Max length | 15 |
|---|---|
| Median length | 10 |
| Mean length | 10.02281879 |
| Min length | 5 |
Characters and Unicode
| Total characters | 7467 |
|---|---|
| Distinct characters | 48 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 5 ? |
|---|---|
| Unique (%) | 0.7% |
Sample
| 1st row | SJA Taufel |
|---|---|
| 2nd row | SJA Taufel |
| 3rd row | DJ Harper |
| 4th row | VK Sharma |
| 5th row | RB Tiffin |
Common Values
| Value | Count | Frequency (%) |
| S Ravi | 68 | 9.1% |
| C Shamshuddin | 56 | 7.5% |
| SJA Taufel | 54 | 7.2% |
| CK Nandan | 48 | 6.4% |
| RJ Tucker | 41 | 5.5% |
| BNJ Oxenford | 31 | 4.2% |
| RB Tiffin | 30 | 4.0% |
| VA Kulkarni | 29 | 3.9% |
| AK Chaudhary | 29 | 3.9% |
| Nitin Menon | 27 | 3.6% |
| Other values (38) | 332 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| s | 84 | 5.6% |
| ravi | 68 | 4.5% |
| shamshuddin | 56 | 3.7% |
| c | 56 | 3.7% |
| taufel | 54 | 3.6% |
| sja | 54 | 3.6% |
| nandan | 48 | 3.2% |
| ck | 48 | 3.2% |
| rj | 41 | 2.7% |
| tucker | 41 | 2.7% |
| Other values (78) | 951 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 771 | 10.3% |
| 756 | 10.1% | |
| n | 473 | 6.3% |
| r | 415 | 5.6% |
| e | 373 | 5.0% |
| i | 370 | 5.0% |
| S | 321 | 4.3% |
| h | 310 | 4.2% |
| u | 251 | 3.4% |
| d | 245 | 3.3% |
| Other values (38) | 3182 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 4593 | |
| Uppercase Letter | 2118 | |
| Space Separator | 756 | 10.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 771 | |
| n | 473 | |
| r | 415 | |
| e | 373 | 8.1% |
| i | 370 | 8.1% |
| h | 310 | 6.7% |
| u | 251 | 5.5% |
| d | 245 | 5.3% |
| f | 183 | 4.0% |
| s | 180 | 3.9% |
| Other values (15) | 1022 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 321 | |
| K | 228 | |
| R | 196 | |
| A | 181 | |
| J | 172 | |
| T | 156 | 7.4% |
| C | 150 | 7.1% |
| N | 133 | 6.3% |
| B | 90 | 4.2% |
| M | 77 | 3.6% |
| Other values (12) | 414 |
Space Separator
| Value | Count | Frequency (%) |
| 756 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 6711 | |
| Common | 756 | 10.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 771 | 11.5% |
| n | 473 | 7.0% |
| r | 415 | 6.2% |
| e | 373 | 5.6% |
| i | 370 | 5.5% |
| S | 321 | 4.8% |
| h | 310 | 4.6% |
| u | 251 | 3.7% |
| d | 245 | 3.7% |
| K | 228 | 3.4% |
| Other values (37) | 2954 |
Common
| Value | Count | Frequency (%) |
| 756 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 7467 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 771 | 10.3% |
| 756 | 10.1% | |
| n | 473 | 6.3% |
| r | 415 | 5.6% |
| e | 373 | 5.0% |
| i | 370 | 5.0% |
| S | 321 | 4.3% |
| h | 310 | 4.2% |
| u | 251 | 3.4% |
| d | 245 | 3.3% |
| Other values (38) | 3182 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 744 |
| Missing (%) | 99.7% |
| Memory size | 6.0 KiB |
| S Ravi | |
|---|---|
| A Chaudary |
Length
| Max length | 10 |
|---|---|
| Median length | 8 |
| Mean length | 8 |
| Min length | 6 |
Characters and Unicode
| Total characters | 16 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | A Chaudary |
|---|---|
| 2nd row | S Ravi |
Common Values
| Value | Count | Frequency (%) |
| S Ravi | 1 | 0.1% |
| A Chaudary | 1 | 0.1% |
| (Missing) | 744 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| chaudary | 1 | |
| s | 1 | |
| a | 1 | |
| ravi | 1 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 3 | |
| 2 | ||
| A | 1 | 6.2% |
| C | 1 | 6.2% |
| h | 1 | 6.2% |
| u | 1 | 6.2% |
| d | 1 | 6.2% |
| r | 1 | 6.2% |
| y | 1 | 6.2% |
| S | 1 | 6.2% |
| Other values (3) | 3 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 10 | |
| Uppercase Letter | 4 | 25.0% |
| Space Separator | 2 | 12.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 3 | |
| h | 1 | 10.0% |
| u | 1 | 10.0% |
| d | 1 | 10.0% |
| r | 1 | 10.0% |
| y | 1 | 10.0% |
| v | 1 | 10.0% |
| i | 1 | 10.0% |
Uppercase Letter
| Value | Count | Frequency (%) |
| A | 1 | |
| C | 1 | |
| S | 1 | |
| R | 1 |
Space Separator
| Value | Count | Frequency (%) |
| 2 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 14 | |
| Common | 2 | 12.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 3 | |
| A | 1 | 7.1% |
| C | 1 | 7.1% |
| h | 1 | 7.1% |
| u | 1 | 7.1% |
| d | 1 | 7.1% |
| r | 1 | 7.1% |
| y | 1 | 7.1% |
| S | 1 | 7.1% |
| R | 1 | 7.1% |
| Other values (2) | 2 |
Common
| Value | Count | Frequency (%) |
| 2 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 16 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 3 | |
| 2 | ||
| A | 1 | 6.2% |
| C | 1 | 6.2% |
| h | 1 | 6.2% |
| u | 1 | 6.2% |
| d | 1 | 6.2% |
| r | 1 | 6.2% |
| y | 1 | 6.2% |
| S | 1 | 6.2% |
| Other values (3) | 3 |
| Distinct | 15 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.0 KiB |
| Mumbai Indians | |
|---|---|
| Kings XI Punjab | |
| Chennai Super Kings | |
| Royal Challengers Bangalore | |
| Kolkata Knight Riders | |
| Other values (10) |
Length
| Max length | 27 |
|---|---|
| Median length | 16 |
| Mean length | 17.97184987 |
| Min length | 13 |
Characters and Unicode
| Total characters | 13407 |
|---|---|
| Distinct characters | 37 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Deccan Chargers |
|---|---|
| 2nd row | Delhi Daredevils |
| 3rd row | Kolkata Knight Riders |
| 4th row | Royal Challengers Bangalore |
| 5th row | Chennai Super Kings |
Common Values
| Value | Count | Frequency (%) |
| Mumbai Indians | 99 | |
| Kings XI Punjab | 90 | |
| Chennai Super Kings | 87 | |
| Royal Challengers Bangalore | 85 | |
| Kolkata Knight Riders | 82 | |
| Delhi Daredevils | 72 | |
| Rajasthan Royals | 66 | |
| Sunrisers Hyderabad | 61 | |
| Deccan Chargers | 43 | |
| Pune Warriors | 20 | 2.7% |
| Other values (5) | 41 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| kings | 177 | 9.5% |
| mumbai | 99 | 5.3% |
| indians | 99 | 5.3% |
| punjab | 90 | 4.8% |
| xi | 90 | 4.8% |
| super | 87 | 4.7% |
| chennai | 87 | 4.7% |
| bangalore | 85 | 4.6% |
| challengers | 85 | 4.6% |
| royal | 85 | 4.6% |
| Other values (22) | 874 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1510 | 11.3% |
| n | 1140 | 8.5% |
| 1112 | 8.3% | |
| e | 1004 | 7.5% |
| i | 927 | 6.9% |
| s | 887 | 6.6% |
| r | 783 | 5.8% |
| l | 649 | 4.8% |
| g | 502 | 3.7% |
| h | 447 | 3.3% |
| Other values (27) | 4446 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 10347 | |
| Uppercase Letter | 1948 | 14.5% |
| Space Separator | 1112 | 8.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1510 | |
| n | 1140 | |
| e | 1004 | |
| i | 927 | |
| s | 887 | |
| r | 783 | 7.6% |
| l | 649 | 6.3% |
| g | 502 | 4.9% |
| h | 447 | 4.3% |
| u | 408 | 3.9% |
| Other values (11) | 2090 |
Uppercase Letter
| Value | Count | Frequency (%) |
| K | 355 | |
| R | 314 | |
| C | 220 | |
| D | 192 | |
| I | 189 | |
| S | 163 | |
| P | 125 | 6.4% |
| M | 99 | 5.1% |
| X | 90 | 4.6% |
| B | 85 | 4.4% |
| Other values (5) | 116 | 6.0% |
Space Separator
| Value | Count | Frequency (%) |
| 1112 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 12295 | |
| Common | 1112 | 8.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1510 | 12.3% |
| n | 1140 | 9.3% |
| e | 1004 | 8.2% |
| i | 927 | 7.5% |
| s | 887 | 7.2% |
| r | 783 | 6.4% |
| l | 649 | 5.3% |
| g | 502 | 4.1% |
| h | 447 | 3.6% |
| u | 408 | 3.3% |
| Other values (26) | 4038 |
Common
| Value | Count | Frequency (%) |
| 1112 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13407 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1510 | 11.3% |
| n | 1140 | 8.5% |
| 1112 | 8.3% | |
| e | 1004 | 7.5% |
| i | 927 | 6.9% |
| s | 887 | 6.6% |
| r | 783 | 5.8% |
| l | 649 | 4.8% |
| g | 502 | 3.7% |
| h | 447 | 3.3% |
| Other values (27) | 4446 |
| Distinct | 15 |
|---|---|
| Distinct (%) | 2.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 6.0 KiB |
| Royal Challengers Bangalore | |
|---|---|
| Kolkata Knight Riders | |
| Delhi Daredevils | |
| Mumbai Indians | |
| Kings XI Punjab | |
| Other values (10) |
Length
| Max length | 27 |
|---|---|
| Median length | 16 |
| Mean length | 18.08310992 |
| Min length | 13 |
Characters and Unicode
| Total characters | 13490 |
|---|---|
| Distinct characters | 37 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Royal Challengers Bangalore |
|---|---|
| 2nd row | Kolkata Knight Riders |
| 3rd row | Mumbai Indians |
| 4th row | Rising Pune Supergiants |
| 5th row | Deccan Chargers |
Common Values
| Value | Count | Frequency (%) |
| Royal Challengers Bangalore | 94 | |
| Kolkata Knight Riders | 94 | |
| Delhi Daredevils | 89 | |
| Mumbai Indians | 84 | |
| Kings XI Punjab | 84 | |
| Rajasthan Royals | 80 | |
| Chennai Super Kings | 73 | |
| Sunrisers Hyderabad | 44 | |
| Deccan Chargers | 32 | 4.3% |
| Pune Warriors | 26 | 3.5% |
| Other values (5) | 46 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| kings | 157 | 8.4% |
| delhi | 97 | 5.2% |
| royal | 94 | 5.1% |
| kolkata | 94 | 5.1% |
| bangalore | 94 | 5.1% |
| challengers | 94 | 5.1% |
| knight | 94 | 5.1% |
| riders | 94 | 5.1% |
| daredevils | 89 | 4.8% |
| mumbai | 84 | 4.5% |
| Other values (22) | 868 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 1553 | 11.5% |
| 1113 | 8.3% | |
| n | 1080 | 8.0% |
| e | 1019 | 7.6% |
| i | 918 | 6.8% |
| s | 884 | 6.6% |
| r | 763 | 5.7% |
| l | 751 | 5.6% |
| g | 501 | 3.7% |
| h | 477 | 3.5% |
| Other values (27) | 4431 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 10434 | |
| Uppercase Letter | 1943 | 14.4% |
| Space Separator | 1113 | 8.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 1553 | |
| n | 1080 | |
| e | 1019 | |
| i | 918 | |
| s | 884 | |
| r | 763 | 7.3% |
| l | 751 | 7.2% |
| g | 501 | 4.8% |
| h | 477 | 4.6% |
| o | 411 | 3.9% |
| Other values (11) | 2077 |
Uppercase Letter
| Value | Count | Frequency (%) |
| R | 363 | |
| K | 359 | |
| D | 218 | |
| C | 207 | |
| I | 168 | |
| S | 132 | 6.8% |
| P | 125 | 6.4% |
| B | 94 | 4.8% |
| M | 84 | 4.3% |
| X | 84 | 4.3% |
| Other values (5) | 109 | 5.6% |
Space Separator
| Value | Count | Frequency (%) |
| 1113 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 12377 | |
| Common | 1113 | 8.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 1553 | 12.5% |
| n | 1080 | 8.7% |
| e | 1019 | 8.2% |
| i | 918 | 7.4% |
| s | 884 | 7.1% |
| r | 763 | 6.2% |
| l | 751 | 6.1% |
| g | 501 | 4.0% |
| h | 477 | 3.9% |
| o | 411 | 3.3% |
| Other values (26) | 4020 |
Common
| Value | Count | Frequency (%) |
| 1113 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 13490 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 1553 | 11.5% |
| 1113 | 8.3% | |
| n | 1080 | 8.0% |
| e | 1019 | 7.6% |
| i | 918 | 6.8% |
| s | 884 | 6.6% |
| r | 763 | 5.7% |
| l | 751 | 5.6% |
| g | 501 | 3.7% |
| h | 477 | 3.5% |
| Other values (27) | 4431 |
| Distinct | 148 |
|---|---|
| Distinct (%) | 19.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 161.3565684 |
| Minimum | 56 |
|---|---|
| Maximum | 263 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.0 KiB |
Quantile statistics
| Minimum | 56 |
|---|---|
| 5-th percentile | 111 |
| Q1 | 142 |
| median | 163 |
| Q3 | 182 |
| 95-th percentile | 209.75 |
| Maximum | 263 |
| Range | 207 |
| Interquartile range (IQR) | 40 |
Descriptive statistics
| Standard deviation | 30.53784434 |
|---|---|
| Coefficient of variation (CV) | 0.1892569026 |
| Kurtosis | 0.4992793235 |
| Mean | 161.3565684 |
| Median Absolute Deviation (MAD) | 20 |
| Skewness | -0.200546894 |
| Sum | 120372 |
| Variance | 932.5599367 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 187 | 16 | 2.1% |
| 165 | 15 | 2.0% |
| 160 | 14 | 1.9% |
| 178 | 14 | 1.9% |
| 168 | 14 | 1.9% |
| 163 | 14 | 1.9% |
| 164 | 13 | 1.7% |
| 183 | 12 | 1.6% |
| 161 | 12 | 1.6% |
| 148 | 12 | 1.6% |
| Other values (138) | 610 |
| Value | Count | Frequency (%) |
| 56 | 1 | |
| 62 | 1 | |
| 67 | 2 | |
| 70 | 2 | |
| 73 | 1 | |
| 80 | 1 | |
| 81 | 1 | |
| 82 | 1 | |
| 88 | 1 | |
| 89 | 1 |
| Value | Count | Frequency (%) |
| 263 | 1 | 0.1% |
| 248 | 1 | 0.1% |
| 246 | 1 | 0.1% |
| 245 | 1 | 0.1% |
| 240 | 1 | 0.1% |
| 235 | 1 | 0.1% |
| 232 | 2 | |
| 231 | 3 | |
| 230 | 1 | 0.1% |
| 227 | 1 | 0.1% |
| Distinct | 143 |
|---|---|
| Distinct (%) | 19.2% |
| Missing | 2 |
| Missing (%) | 0.3% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 147.8413978 |
| Minimum | 2 |
|---|---|
| Maximum | 223 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 6.0 KiB |
Quantile statistics
| Minimum | 2 |
|---|---|
| 5-th percentile | 92 |
| Q1 | 131 |
| median | 150 |
| Q3 | 169 |
| 95-th percentile | 194 |
| Maximum | 223 |
| Range | 221 |
| Interquartile range (IQR) | 38 |
Descriptive statistics
| Standard deviation | 31.15340597 |
|---|---|
| Coefficient of variation (CV) | 0.2107218034 |
| Kurtosis | 0.9115891677 |
| Mean | 147.8413978 |
| Median Absolute Deviation (MAD) | 19 |
| Skewness | -0.6126276321 |
| Sum | 109994 |
| Variance | 970.5347038 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 164 | 14 | 1.9% |
| 161 | 14 | 1.9% |
| 146 | 14 | 1.9% |
| 162 | 14 | 1.9% |
| 142 | 13 | 1.7% |
| 160 | 13 | 1.7% |
| 159 | 13 | 1.7% |
| 150 | 13 | 1.7% |
| 137 | 12 | 1.6% |
| 153 | 11 | 1.5% |
| Other values (133) | 613 |
| Value | Count | Frequency (%) |
| 2 | 1 | |
| 41 | 1 | |
| 44 | 1 | |
| 48 | 1 | |
| 49 | 1 | |
| 55 | 1 | |
| 58 | 2 | |
| 60 | 1 | |
| 61 | 1 | |
| 66 | 2 |
| Value | Count | Frequency (%) |
| 223 | 2 | |
| 217 | 1 | 0.1% |
| 214 | 2 | |
| 211 | 1 | 0.1% |
| 208 | 2 | |
| 207 | 2 | |
| 206 | 2 | |
| 205 | 1 | 0.1% |
| 204 | 3 | |
| 203 | 1 | 0.1% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| id | season | city | date | team1 | team2 | toss_winner | toss_decision | winner | eliminator | dl_applied | win_by_runs | win_by_wickets | result | overs | player_of_match | venue | umpire1 | umpire2 | umpire3 | first_bat_team | first_bowl_team | first_bat_score | second_bat_score | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 419164 | 2010 | Mumbai | 2010-04-24 | Royal Challengers Bangalore | Deccan Chargers | Deccan Chargers | bat | Royal Challengers Bangalore | NaN | NaN | NaN | 9.0 | NaN | 20 | A Kumble | Dr DY Patil Sports Academy | RE Koertzen | SJA Taufel | NaN | Deccan Chargers | Royal Challengers Bangalore | 82.0 | 86.0 |
| 1 | 419131 | 2010 | Delhi | 2010-03-29 | Delhi Daredevils | Kolkata Knight Riders | Delhi Daredevils | bat | Delhi Daredevils | NaN | NaN | 40.0 | NaN | NaN | 20 | DA Warner | Feroz Shah Kotla | SS Hazare | SJA Taufel | NaN | Delhi Daredevils | Kolkata Knight Riders | 177.0 | 137.0 |
| 2 | 336021 | 2008 | Mumbai | 2008-05-16 | Mumbai Indians | Kolkata Knight Riders | Mumbai Indians | field | Mumbai Indians | NaN | NaN | NaN | 8.0 | NaN | 20 | SM Pollock | Wankhede Stadium | BR Doctrove | DJ Harper | NaN | Kolkata Knight Riders | Mumbai Indians | 67.0 | 68.0 |
| 3 | 980931 | 2016 | Pune | 2016-04-22 | Rising Pune Supergiants | Royal Challengers Bangalore | Rising Pune Supergiants | field | Royal Challengers Bangalore | NaN | NaN | 13.0 | NaN | NaN | 20 | AB de Villiers | Maharashtra Cricket Association Stadium | CB Gaffaney | VK Sharma | NaN | Royal Challengers Bangalore | Rising Pune Supergiants | 185.0 | 172.0 |
| 4 | 419163 | 2010 | Mumbai | 2010-04-22 | Chennai Super Kings | Deccan Chargers | Chennai Super Kings | bat | Chennai Super Kings | NaN | NaN | 38.0 | NaN | NaN | 20 | DE Bollinger | Dr DY Patil Sports Academy | BR Doctrove | RB Tiffin | NaN | Chennai Super Kings | Deccan Chargers | 142.0 | 104.0 |
| 5 | 419136 | 2010 | Chandigarh | 2010-04-02 | Kings XI Punjab | Royal Challengers Bangalore | Kings XI Punjab | bat | Royal Challengers Bangalore | NaN | NaN | NaN | 6.0 | NaN | 20 | KP Pietersen | Punjab Cricket Association Stadium, Mohali | BF Bowden | M Erasmus | NaN | Kings XI Punjab | Royal Challengers Bangalore | 181.0 | 184.0 |
| 6 | 336026 | 2008 | Bangalore | 2008-05-19 | Royal Challengers Bangalore | Delhi Daredevils | Delhi Daredevils | field | Delhi Daredevils | NaN | NaN | NaN | 5.0 | NaN | 20 | SP Goswami | M Chinnaswamy Stadium | SJ Davis | GA Pratapkumar | NaN | Royal Challengers Bangalore | Delhi Daredevils | 154.0 | 158.0 |
| 7 | 980963 | 2016 | Kolkata | 2016-05-04 | Kolkata Knight Riders | Kings XI Punjab | Kings XI Punjab | field | Kolkata Knight Riders | NaN | NaN | 7.0 | NaN | NaN | 20 | AD Russell | Eden Gardens | AK Chaudhary | HDPK Dharmasena | NaN | Kolkata Knight Riders | Kings XI Punjab | 164.0 | 157.0 |
| 8 | 501236 | 2011 | Chennai | 2011-05-01 | Chennai Super Kings | Deccan Chargers | Chennai Super Kings | bat | Chennai Super Kings | NaN | NaN | 19.0 | NaN | NaN | 20 | JA Morkel | MA Chidambaram Stadium, Chepauk | Aleem Dar | RB Tiffin | NaN | Chennai Super Kings | Deccan Chargers | 165.0 | 146.0 |
| 9 | 501263 | 2011 | Mumbai | 2011-05-20 | Mumbai Indians | Rajasthan Royals | Mumbai Indians | bat | Rajasthan Royals | NaN | NaN | NaN | 10.0 | NaN | 20 | SR Watson | Wankhede Stadium | RE Koertzen | PR Reiffel | NaN | Mumbai Indians | Rajasthan Royals | 133.0 | 134.0 |
Last rows
| id | season | city | date | team1 | team2 | toss_winner | toss_decision | winner | eliminator | dl_applied | win_by_runs | win_by_wickets | result | overs | player_of_match | venue | umpire1 | umpire2 | umpire3 | first_bat_team | first_bowl_team | first_bat_score | second_bat_score | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 736 | 336015 | 2008 | Jaipur | 2008-05-11 | Rajasthan Royals | Delhi Daredevils | Rajasthan Royals | field | Rajasthan Royals | NaN | NaN | NaN | 3.0 | NaN | 20 | SR Watson | Sawai Mansingh Stadium | SJ Davis | RE Koertzen | NaN | Delhi Daredevils | Rajasthan Royals | 156.0 | 159.0 |
| 737 | 419150 | 2010 | Jaipur | 2010-04-11 | Rajasthan Royals | Mumbai Indians | Rajasthan Royals | field | Mumbai Indians | NaN | NaN | 37.0 | NaN | NaN | 20 | SR Tendulkar | Sawai Mansingh Stadium | BR Doctrove | SK Tarapore | NaN | Mumbai Indians | Rajasthan Royals | 174.0 | 137.0 |
| 738 | 980957 | 2016 | Pune | 2016-05-01 | Rising Pune Supergiants | Mumbai Indians | Mumbai Indians | field | Mumbai Indians | NaN | NaN | NaN | 8.0 | NaN | 20 | RG Sharma | Maharashtra Cricket Association Stadium | AY Dandekar | RJ Tucker | NaN | Rising Pune Supergiants | Mumbai Indians | 159.0 | 161.0 |
| 739 | 1136598 | 2018 | Indore | 2018-05-06 | Kings XI Punjab | Rajasthan Royals | Kings XI Punjab | field | Kings XI Punjab | NaN | NaN | NaN | 6.0 | NaN | 20 | Mujeeb Ur Rahman | Holkar Cricket Stadium | C Shamshuddin | S Ravi | NaN | Rajasthan Royals | Kings XI Punjab | 152.0 | 155.0 |
| 740 | 981009 | 2016 | Kolkata | 2016-05-22 | Kolkata Knight Riders | Sunrisers Hyderabad | Sunrisers Hyderabad | field | Kolkata Knight Riders | NaN | NaN | 22.0 | NaN | NaN | 20 | YK Pathan | Eden Gardens | KN Ananthapadmanabhan | M Erasmus | NaN | Kolkata Knight Riders | Sunrisers Hyderabad | 171.0 | 149.0 |
| 741 | 1136567 | 2018 | Hyderabad | 2018-04-12 | Sunrisers Hyderabad | Mumbai Indians | Sunrisers Hyderabad | field | Sunrisers Hyderabad | NaN | NaN | NaN | 1.0 | NaN | 20 | Rashid Khan | Rajiv Gandhi International Stadium, Uppal | NJ Llong | CK Nandan | NaN | Mumbai Indians | Sunrisers Hyderabad | 147.0 | 151.0 |
| 742 | 392209 | 2009 | East London | 2009-05-04 | Chennai Super Kings | Deccan Chargers | Chennai Super Kings | bat | Chennai Super Kings | NaN | NaN | 78.0 | NaN | NaN | 20 | MS Dhoni | Buffalo Park | BR Doctrove | M Erasmus | NaN | Chennai Super Kings | Deccan Chargers | 178.0 | 100.0 |
| 743 | 336012 | 2008 | Bangalore | 2008-05-28 | Royal Challengers Bangalore | Mumbai Indians | Mumbai Indians | field | Mumbai Indians | NaN | NaN | NaN | 9.0 | NaN | 20 | CRD Fernando | M Chinnaswamy Stadium | BF Bowden | AV Jayaprakash | NaN | Royal Challengers Bangalore | Mumbai Indians | 122.0 | 126.0 |
| 744 | 729313 | 2014 | NaN | 2014-04-28 | Kings XI Punjab | Royal Challengers Bangalore | Kings XI Punjab | field | Kings XI Punjab | NaN | NaN | NaN | 5.0 | NaN | 20 | Sandeep Sharma | Dubai International Cricket Stadium | BF Bowden | S Ravi | NaN | Royal Challengers Bangalore | Kings XI Punjab | 124.0 | 127.0 |
| 745 | 419157 | 2010 | Bangalore | 2010-04-17 | Royal Challengers Bangalore | Mumbai Indians | Royal Challengers Bangalore | field | Mumbai Indians | NaN | NaN | 57.0 | NaN | NaN | 20 | R McLaren | M Chinnaswamy Stadium | HDPK Dharmasena | SJA Taufel | NaN | Mumbai Indians | Royal Challengers Bangalore | 191.0 | 134.0 |